地球物理异常的分区与分类 |
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引用本文: | 姜枚.地球物理异常的分区与分类[J].物探与化探,1985,9(1):33-40. |
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作者姓名: | 姜枚 |
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作者单位: | 地质科学院矿床研究所 |
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摘 要: | 在进行区域物探工作时,为了解决填图、构造分区和矿产预测等问题,常常需要将地球物理场的异常进行分区和分类。利用图象识别的有关分法实现综合标志的分区与分类,能够把这一工作引向定量分析的阶段。图象识别又分为“学习”的和“自学的”方法。但无论是需要在已知标准体上进行“学习”的识别方法,还是“自学”识别的方法,都在不同方面提供了新的解释结果。文中还以承德一沈阳和江苏等地为例,阐明了图象识别的方法在区域物探资料解释中的有效性。
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THE DIVISION AND CLASSIFICATION OFGEOPHYSICAL ANOMALIES |
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Institution: | Institute of Mineral Deposits Chinese Academy of Geological Sciences |
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Abstract: | The division and classification of geophysical anomalies are frequently required in regional geophysical prospecting to tackle such problems as mapping, tectonic division and ore-predicting. The integrated division and classification by means of image recognition might lead this work to the level of quantitative analysis. The image recognition includes"study" method and "self-study" method, with the former pursuing "study" on known standard object and the latter conducting recognition through "self-study". Nevertheless, either method will provide new interpretations from different aspects.The geophysical work carried out in Chengde-Shenyang, Jiangsu and some-other places is cited in this paper to illustrate the availability of image recognition in the interpretation of regional geophysical data. |
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